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New LLM Agent SLIDEFORGE Enables Controllable Slide Editing

Researchers have developed SLIDEFORGE, an LLM agent designed for the controllable editing of presentation slides. Unlike previous agents that operate on screenshots or weak document representations, SLIDEFORGE builds a Deck State Graph. This executable slide state links visual decomposition, native PowerPoint object structure, and perceptual organization. The agent supports theme-preserving reconstruction through slide-native operations and rendered-state verification, outperforming existing baselines in component recovery, preservation, restyling consistency, visual quality, and native editability. AI

IMPACT This agent could streamline content creation and editing workflows for presentations, improving efficiency for users.

RANK_REASON This is a research paper describing a novel LLM agent and framework for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LLM Agent SLIDEFORGE Enables Controllable Slide Editing

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This is a research paper describing a novel LLM agent and framework for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haozhen Zheng, Fulin Wang, Tianhu Xiong, Yingjie Yu, Shengyi Qian, Hanchao Yu, Alex Schwing, Klara Nahrstedt, Mingyuan Wu ·

    SLIDEFORGE: An LLM Agent for Controllable Editing of Slides as Structured Artifacts

    arXiv:2609.03109v1 Announce Type: new Abstract: Current AI agents compellingly describe slides. However, AI-assisted slide editing requires more than understanding: the output must retain layout, style, component structure, and native editability. Towards, AI-assisted slide editi…